2022
Gan, Xingcheng; Pei, Ji; Pavesi, Giorgio; Yuan, Shouqi; Wang, Wenjie
Application of intelligent methods in energy efficiency enhancement of pump system: A review Journal Article
In: Energy Reports, vol. 8, pp. 11592-11606, 2022, ISSN: 23524847.
Abstract | Links | BibTeX | Tags: Energy efficiency enhancement, Energy-efficient control, Inline pump, Intelligent method, Optimization, Pump system
@article{GanPavesi2022-01,
title = {Application of intelligent methods in energy efficiency enhancement of pump system: A review},
author = {Xingcheng Gan and Ji Pei and Giorgio Pavesi and Shouqi Yuan and Wenjie Wang},
doi = {10.1016/j.egyr.2022.09.016},
issn = {23524847},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Energy Reports},
volume = {8},
pages = {11592-11606},
publisher = {Elsevier Ltd},
abstract = {Energy consumption around the world is growing at an alarming rate. That brings enormous pressure on energy production and environmental issues. Nowadays, energy efficiency enhancement strategies are considered the crucial approaches to release this problem. The pumps accounts for nearly 21% of the world electricity consumption of industrial motor-driven systems. Hence, much research focused on improving the energy efficiency of the pumps and their systems. According to the works of literature, the level of design of pumps for most applications is already extremely high while the system performance could be further improved by regulations, and the average energy savings potential achievable through pump system adjustments is about 30%. This paper focuses on the advanced characteristic modeling methods, and energy efficiency enhancement regulation approaches for the parallel pumping system. A comprehensive summary of traditional scheduling methods and advanced regulation methods based on computational intelligence has been made to provide insight for future research.},
keywords = {Energy efficiency enhancement, Energy-efficient control, Inline pump, Intelligent method, Optimization, Pump system},
pubstate = {published},
tppubtype = {article}
}
Energy consumption around the world is growing at an alarming rate. That brings enormous pressure on energy production and environmental issues. Nowadays, energy efficiency enhancement strategies are considered the crucial approaches to release this problem. The pumps accounts for nearly 21% of the world electricity consumption of industrial motor-driven systems. Hence, much research focused on improving the energy efficiency of the pumps and their systems. According to the works of literature, the level of design of pumps for most applications is already extremely high while the system performance could be further improved by regulations, and the average energy savings potential achievable through pump system adjustments is about 30%. This paper focuses on the advanced characteristic modeling methods, and energy efficiency enhancement regulation approaches for the parallel pumping system. A comprehensive summary of traditional scheduling methods and advanced regulation methods based on computational intelligence has been made to provide insight for future research.
2020
Cavazzini, Giovanna; Pavesi, Giorgio; Ardizzon, Guido
Optimal assets management of a water distribution network for leakage minimization based on an innovative index Journal Article
In: Sustainable Cities and Society, vol. 54, iss. May, pp. 101890, 2020, ISSN: 22106707.
Abstract | Links | BibTeX | Tags: Energy performance indicators, Leakage, Optimization, Pressure management, Water distribution network
@article{Cavazzini2020b,
title = {Optimal assets management of a water distribution network for leakage minimization based on an innovative index},
author = {Giovanna Cavazzini and Giorgio Pavesi and Guido Ardizzon},
url = {https://doi.org/10.1016/j.scs.2019.101890},
doi = {10.1016/j.scs.2019.101890},
issn = {22106707},
year = {2020},
date = {2020-01-01},
journal = {Sustainable Cities and Society},
volume = {54},
issue = {May},
pages = {101890},
publisher = {Elsevier},
abstract = {Leakage reduction in water distribution networks is an absolute priority and several pressure management strategies have been proposed in the literature to tackle this issue. However, the definition of an effective relationship between leakage and relevant and measurable parameters still represents a challenge. This paper presented a novel performance parameter, the Leakage Performance Index (LPI), to minimize leakages starting from pressure and flow rate measurements. This parameter creates a ranking among the different nodes in the network, by properly weighting the pressure of each node with the output flow from the node in order to focus the pressure management strategy on those nodes whose impact, in terms of leakage, is expected to be greater. To verify the effectiveness of the proposed LPI, a model of an existing water distribution district in Italy was developed in EPAnet and validated by comparison with experimental results. The valve settings of the model were then used as variables of time-dependent optimization procedures aimed at minimizing different objective functions. Different scenarios were considered by varying the minimum guaranteed pressure at the customer points. The LPI minimization strategy was efficient insofar as it indirectly minimized the leakages, achieving the same results of the leakage minimization strategy.},
keywords = {Energy performance indicators, Leakage, Optimization, Pressure management, Water distribution network},
pubstate = {published},
tppubtype = {article}
}
Leakage reduction in water distribution networks is an absolute priority and several pressure management strategies have been proposed in the literature to tackle this issue. However, the definition of an effective relationship between leakage and relevant and measurable parameters still represents a challenge. This paper presented a novel performance parameter, the Leakage Performance Index (LPI), to minimize leakages starting from pressure and flow rate measurements. This parameter creates a ranking among the different nodes in the network, by properly weighting the pressure of each node with the output flow from the node in order to focus the pressure management strategy on those nodes whose impact, in terms of leakage, is expected to be greater. To verify the effectiveness of the proposed LPI, a model of an existing water distribution district in Italy was developed in EPAnet and validated by comparison with experimental results. The valve settings of the model were then used as variables of time-dependent optimization procedures aimed at minimizing different objective functions. Different scenarios were considered by varying the minimum guaranteed pressure at the customer points. The LPI minimization strategy was efficient insofar as it indirectly minimized the leakages, achieving the same results of the leakage minimization strategy.
2019
Cavazzini, Giovanna; Bari, Serena; McGrail, P.; Benedetti, Vittoria; Pavesi, Giorgio; Ardizzon, Guido
Contribution of Metal-Organic-Heat Carrier nanoparticles in a R245fa low-grade heat recovery Organic Rankine Cycle Journal Article
In: Energy Conversion and Management, vol. 199, pp. 111960, 2019, ISSN: 01968904.
Abstract | Links | BibTeX | Tags: Nanofluid, Numerical Model, Optimization, ORC, waste heat
@article{Cavazzini2019b,
title = {Contribution of Metal-Organic-Heat Carrier nanoparticles in a R245fa low-grade heat recovery Organic Rankine Cycle},
author = {Giovanna Cavazzini and Serena Bari and P. McGrail and Vittoria Benedetti and Giorgio Pavesi and Guido Ardizzon},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0196890419309665},
doi = {10.1016/j.enconman.2019.111960},
issn = {01968904},
year = {2019},
date = {2019-01-01},
journal = {Energy Conversion and Management},
volume = {199},
pages = {111960},
abstract = {This paper presents an in-depth investigation of the applications of an innovative nanofluid – suspensions of nanoparticles in a base fluid- in the ORC field, based on a new class of nanoparticles – termed Metal-Organic Heat Carriers (MOHCs) – molecularly engineered to reversibly uptake and release the working fluid molecules in which they are suspended. Unlike standard nanoparticles (i.e. Al2O3, Al, …), these MOHCs make it possible to extract additional heat from the endothermic enthalpy of desorption which can be as much as twice the level of the latent heat of vaporization of the pure fluid phase alone. The paper illustrates the development of a nu- merical model for assessing the MOHC-based nanofluid gain in ORC systems. More specifically, the possible combination of the base fluid R245fa with the nanoparticle MIL101, a robust Metal Organic Heat Carrier, was considered. To properly model the reversible adsorption/desorption process, experimental analyses were carried out to study the uptake of the R245fa in MIL101 at different operating conditions and departing from the experimental results, proper semi-empirical correlations were defined and adopted within the numerical model. The resulting performance of the MIL101/R245fa were compared with those of pure organic fluids, whose cycle was optimized in order to maximize the area-to-power ratio. Promising results were achieved in terms of system efficiency increase and heat exchanger area reduction. 1.},
keywords = {Nanofluid, Numerical Model, Optimization, ORC, waste heat},
pubstate = {published},
tppubtype = {article}
}
This paper presents an in-depth investigation of the applications of an innovative nanofluid – suspensions of nanoparticles in a base fluid- in the ORC field, based on a new class of nanoparticles – termed Metal-Organic Heat Carriers (MOHCs) – molecularly engineered to reversibly uptake and release the working fluid molecules in which they are suspended. Unlike standard nanoparticles (i.e. Al2O3, Al, …), these MOHCs make it possible to extract additional heat from the endothermic enthalpy of desorption which can be as much as twice the level of the latent heat of vaporization of the pure fluid phase alone. The paper illustrates the development of a nu- merical model for assessing the MOHC-based nanofluid gain in ORC systems. More specifically, the possible combination of the base fluid R245fa with the nanoparticle MIL101, a robust Metal Organic Heat Carrier, was considered. To properly model the reversible adsorption/desorption process, experimental analyses were carried out to study the uptake of the R245fa in MIL101 at different operating conditions and departing from the experimental results, proper semi-empirical correlations were defined and adopted within the numerical model. The resulting performance of the MIL101/R245fa were compared with those of pure organic fluids, whose cycle was optimized in order to maximize the area-to-power ratio. Promising results were achieved in terms of system efficiency increase and heat exchanger area reduction. 1.
